Improving eye health using data science and artificial intelligence
Official title: Advancing Eye Health through Data Science and Artificial Intelligence
Funded at Massachusetts Eye and Ear Infirmary · NIH-11000439 · Data updated 2026-11-12
This study is all about bringing together experts to explore how data science and artificial intelligence can help improve eye health, especially for people with diabetic retinopathy, so they can find better ways to diagnose and treat eye diseases while also inspiring future scientists in this exciting area.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Eye and Ear Infirmary NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | August 1, 2024 |
| Project end | July 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $35,070 |
| NIH project number | 1R13EY036277-01A1 |
| Project ID | NIH-11000439 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals at risk for or diagnosed with eye diseases, particularly diabetic retinopathy.
✕Less likely to help
Patients with eye conditions that are not related to diabetic retinopathy or those who do not have access to the technologies discussed may not benefit from this research.
What this research studies
This research focuses on a symposium aimed at advancing eye health through the integration of data science and artificial intelligence (AI). The event will gather experts to discuss innovative ways to leverage AI and big data for better diagnosis and treatment of eye diseases, particularly diabetic retinopathy. By fostering collaboration and knowledge sharing among researchers and clinicians, the symposium aims to ensure that AI is ethically and effectively incorporated into clinical practice. Additionally, it seeks to engage and inspire the next generation of scientists in this rapidly evolving field.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and treatment strategies for eye diseases, enhancing patient outcomes.
How similar studies have gone: Previous research has shown promise in using AI and data science for improving healthcare outcomes, indicating that this approach could be effective.
Where this research is happening
-
Massachusetts Eye and Ear Infirmary
Boston, United States Active
Researchers
- Principal investigator: Sobrin, Lucia — Massachusetts Eye and Ear Infirmary
- Study coordinator: Sobrin, Lucia
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.